Toxicity testing is critical for new drug and chemical development process. A clinical study, experimental animal models, and in vitro study are performed to evaluate the safety of a new drug. The limitations of these methods include extensive time for toxicity testing, an ethical problem, and high costs of experimentation. Therefore computational methods are considered useful for estimating chemical toxicity. In silico toxicity prediction is one of the toxicity assessments that uses computational methods to predict and stimulate the toxicity of chemicals. In silico study aims to contribute to effective development of new drug and chemical design. In this study, quantitative structure-activity relationship (QSAR) models will be used to predict toxicities based on chemical structural parameters. Because toxicities are complicated physiological phenomena, a similar toxicity expression might cause a different pathway. Also, since many drugs with unknown mechanisms of actions are available, the application of artificial intelligence (AI)-which uses sophisticated algorithms- is increasingly used to predict toxicities. Recently, the QSAR model was applied to determine complex relations between chemical structures and toxicities. However, accuracy of QSAR for toxicity prediction remains an important issue. International competitions funded by public institutions can address this issue. Two important toxicity challenges were organized in the past decade; this article presents issues of toxicity based on these challenges.Because the liver is the primary target organ for chemicals and pharmaceuticals, evaluation of these substances' liver toxicity is of critical importance. New evaluation methods without animal testing (i.e., in vitro and/or in silico) are eagerly anticipated, both for animal welfare and for decreasing cost. Also, the importance of mechanistic interpretation of the output derived from non-animal testing has been increasing. Accordingly, we investigated the potential for evaluating liver toxicity by applying the adverse outcome pathway (AOP) concept using gene set enrichment analysis (GSEA) from gene expression (GEx) data. A case study targeting hepatocellular fatty degeneration (HFD) is reported and discussed. We first identified the events detectable in an in vitro system by comparing the GEx data from the rat primary hepatocyte (in vitro) and rat liver (in vivo) treated with a chemical with the ability to induce HFD as one of the phenotypes in a 28-day repeated-dose toxicity test. Then, the scores based on GSEA were calculated after establishing the gene sets for each event leading to HFD. As a result, the mechanistic information leading to HFD was obtained from the score calculated based on the GSEA and the usefulness of the transcriptome-driven evaluation using AOP was demonstrated.The Organisation for Economic Co-operation and Development (OECD) has initiated the adverse outcome pathway (AOP) Development Program in which the concept of AOP is applied to evaluate the safety of molecules such as chemicals. https://www.selleckchem.com/products/Rapamycin.html This program aims to assist regulatory needs and construct a knowledge base by accumulating AOP case studies. AOP consists of a molecular initiating event (MIE) as the initiating event of the pathway; key events (KEs) as the events themselves, such as cellular-molecular interactions; and adverse outcome (AO), such as signaling transduction-induced toxicity, as adverse events. KEs are extracted as important events at various levels, such as the molecular, cellular, tissue, organ, individual, and species levels; measurement of KEs and key event relationships (KERs), including mechanisms, plausibility, species differences, and empirical support information, are gathered. The development status of the AOP relating to histone deacetylase inhibition-induced testicular toxicity, currently being reviewed by the OECD, has been introduced. The AOP describing malignancies by Wnt ligand stimulation and Wnt signaling activation using gene expression network analysis-based mechanisms in molecular pathway elucidation has been suggested.The latest chemical management policies require toxicological evaluation of marketed but untested chemicals. Furthermore, in Europe, for animal welfare reasons sales of cosmetics and raw materials for which animal experiments were conducted were totally banned, in 2013. Responding to these regulatory trends, a strong demand exists to develop new in vitro test methods and to improve in silico prediction models for safety assessments. In recent years, the development of adverse outcome pathways (AOPs) has been actively promoted in the Organisation for Economic Co-operation and Development (OECD). Since it is difficult to replace a particular in vivo animal test with a single in vitro test method or in silico prediction model, integrated approaches to testing and assessment (IATA) have been studied based on AOP information. With regard to skin sensitization, several in vitro test methods that measure key events of AOP have been established, and integrated strategies using in vitro tests have been examined using AOP. Currently, numerous AOPs are under development for a wide range of complex toxicity endpoints in the OECD AOP program. The AOPs are expected to contribute to the development of many accurate in vitro test methods and to establish IATA as well as to evaluate safety in humans of many substances, including household chemicals, food-related chemicals, cosmetics, and pharmaceuticals.Chronic heart failure is the final stage of such heart diseases as hypertension, cardiomyopathy, and myocardial infarction. Since the incidence of heart failure has increased in recent decades, heart failure is now a major public health problem in developed countries, including Japan. Recently, some studies have demonstrated that natural products, used as nutritional supplements, play an important role in preventing the development of heart failure in animal studies. In our previous study, we showed that curcumin, a natural polyphenol compound derived from Curcuma longa, exhibits therapeutic potency against heart failure. To establish the pharmacological therapeutic value of curcumin in heart failure, we have investigated the translational research of curcumin. This report reviews our basic studies and clinical trials using curcumin therapeutically to prevent heart failure, as well as the possibility of clinical applications of curcumin.